endorsedCompleted

Predictive Clinical Analytics Platform for Bianalisi SPA

Services Covered:

Big Data Analytics and Business Intelligence • Custom Software Development

Industry

Healthcare

Duration

7 months

Budget

10K - 49K

Start Date

1 April 2025

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

82/100

Strong

Project Capability Score (PCS) estimates how capable Acquaint Softtech Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Bianalisi SPA

Italy

Project Summary

Acquaint Softtech built a secure analytics framework and clinical dashboards for an Italian diagnostics group, consolidating laboratory and clinical data into predictive health intelligence. The vendor delivered data ingestion, anonymization safeguards, predictive models, and dashboards that enabled earlier detection of abnormal diagnostic clusters. The client praised the team's technical maturity, responsiveness, and ability to align solutions with regulatory requirements.

Key Challenges

Transform existing laboratory and clinical data into predictive health intelligence to identify patient risk patterns earlier
Build a secure analytics framework that aligns with strict European data protection regulations while enabling meaningful modeling
Provide clinical leadership dashboards capable of surfacing treatment trends, diagnostic anomalies, and regional workload insights across facilities

Project Deliverables

A centralized predictive analytics engine
Risk stratification logic based on laboratory and diagnostic patterns
Executive-level dashboards displaying cross-regional trends
Operational dashboards for clinical supervisors
A secure data ingestion layer for laboratory and clinical records
Access-controlled APIs for authorized data retrieval
Data privacy and anonymization safeguards integrated into model training workflows
Audit trails and logging mechanisms aligned with European compliance standards

Project Solution

Acquaint designed and implemented a Python-based analytics infrastructure that ingested and processed laboratory test records, diagnostic imaging metadata, and outpatient documentation. They cleaned and structured partially anonymized clinical datasets, developed predictive models and risk-stratification logic, created executive and operational dashboards for regional medical directors and supervisors, and implemented access-controlled APIs, audit trails, and logging to align with European compliance standards. The team engaged clinical leadership to validate model assumptions and ensured predictive outputs remained clinically interpretable.

Project Outcome

Clinical directors detected clusters of abnormal diagnostic trends earlier than previously possible
Identification of recurring diagnostic risk patterns within the same reporting cycle rather than after monthly audits
Consolidation of laboratory trend analysis that previously required manual extraction from multiple systems
Reduction in time spent preparing cross-regional performance reports and faster escalation of cases requiring secondary review
A specific instance where the dashboard enabled immediate review of an unusual spike in laboratory indicators

Platforms

Tech Stack

Python

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“With the new solutions, the client became able to detect clusters of abnormal diagnostic trends earlier than expected. Acquaint Softtech Private Limited demonstrated strong technical maturity and a deep understanding of the industry. They were also responsive, accommodating, and communicative.”
Giovanni Gianolli
CEO
Date: 02/22/2026